AWS
Free AWS Certified AI Practitioner (AIF-C01) Practice Questions
The AWS Certified AI Practitioner (AIF-C01) certification validates a professional’s ability to understand core artificial intelligence and machine learning concepts, use AWS AI services responsibly, and apply generative AI and machine learning solutions within real-world cloud environments.
10
Sample questions
90 min
Exam time limit
70%
Passing score
$150
Exam voucher
About the AWS Certified AI Practitioner (AIF-C01) Exam
The AWS Certified AI Practitioner (AIF-C01) is AWS's entry-level certification for professionals who work with or alongside AI and machine learning on the AWS platform. It validates foundational knowledge of AI/ML concepts, core AWS AI services, and the responsible use of AI — without requiring hands-on development experience. This certification is designed for roles that interact with AI outputs or guide AI adoption: product managers, business analysts, solutions architects, and security professionals who need to evaluate AI tools, communicate with ML teams, or assess risk and governance considerations. It is not a builders' certification — no coding is required. AIF-C01 was launched in 2024 in response to the rapid enterprise adoption of generative AI. It specifically covers AWS generative AI services including Amazon Bedrock, Amazon Q, and SageMaker, alongside foundational ML concepts and responsible AI principles. Passing it signals to employers that you can participate meaningfully in AI-driven projects on AWS.
Exam Domains Covered
Exam Format & Details
The AIF-C01 exam contains 85 questions — multiple-choice and multiple-response — with a 90-minute time limit. The passing score is 700 on a 100–1000 scale. It is available at Pearson VUE and online. Domain breakdown: - Fundamentals of AI and ML (20%) - Fundamentals of Generative AI (24%) - Applications of Foundation Models (28%) - Guidelines for Responsible AI (14%) - Security, Compliance, and Governance for AI Solutions (14%) Questions test conceptual understanding rather than hands-on configuration. Expect to identify the correct AWS service for a given AI use case, distinguish between ML model types, explain responsible AI principles, and apply basic data and security concepts to AI workloads.
Why Practice Questions Matter
AIF-C01 covers a broad range of concepts — from basic ML terminology through generative AI architecture to AWS-specific services — and the exam rewards candidates who can navigate this breadth confidently, not just memorise one topic area. Practice questions help you: - Distinguish between supervised, unsupervised, and reinforcement learning use cases - Identify which AWS AI service (Bedrock, Comprehend, Rekognition, Textract, Q, etc.) fits a given business requirement - Apply responsible AI principles — fairness, explainability, privacy — to real-world scenarios - Understand RAG, prompt engineering, and fine-tuning at a conceptual level without needing to implement them Many candidates underestimate this exam because it is entry-level, then struggle with the AWS service breadth. Systematic practice across all five domains, particularly Applications of Foundation Models and Responsible AI, is the most reliable path to a first-attempt pass.
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Sample Practice Questions
The following questions are a preview of the type of syllabus-aligned questions you will practise in CertCrush. They reflect the format and reasoning style of the AWS Certified AI Practitioner (AIF-C01) exam — not actual exam content.
Q1.A marketing team at a retail company wants to build a machine learning model to predict customer lifetime value but has no data science experience and does not want to write any code. Which AWS service is designed specifically for this use case?
- A.Amazon SageMaker Canvas
- B.Amazon SageMaker Studio
- C.Amazon Rekognition
- D.Amazon QuickSight
Domain: Fundamentals of AI and ML
Q2.A developer is using Amazon Bedrock to summarize long legal documents. After testing, they notice the model is cutting off the summary mid-sentence. Which inference parameter should the developer increase to resolve this?
- A.Max tokens
- B.Temperature
- C.Top-k
- D.Batch size
Domain: Fundamentals of Generative AI
Q3.An e-commerce company wants to show each user personalized product recommendations in real time as they browse the website. The recommendations should adapt to each user's recent clickstream behavior. Which AWS service is designed specifically for this requirement?
- A.Amazon Personalize
- B.Amazon Kendra
- C.Amazon Rekognition
- D.Amazon Forecast
Domain: Fundamentals of AI and ML
Q4.An ML engineer explains the fundamental technical difference between fine-tuning a foundation model and using RAG. Which statement correctly distinguishes the two approaches?
- A.Fine-tuning updates model weights through training; RAG retrieves external context at inference time without changing weights
- B.Fine-tuning retrieves documents at inference time; RAG updates model weights during training
- C.Fine-tuning and RAG both update model weights but use different training data sources
- D.Fine-tuning and RAG are identical approaches with different names for the same process
Domain: Applications of Foundation Models
Q5.A company wants to automatically generate executive summaries of lengthy quarterly earnings reports. Which generative AI use case does this represent, and which capability makes it suitable?
- A.Text summarization, using the model's ability to understand and condense long-form content
- B.Text classification, using the model to assign categories to the earnings reports
- C.Named entity recognition, using the model to extract key figures and names
- D.Sentiment analysis, using the model to determine the tone of the report
Domain: Fundamentals of Generative AI
Frequently Asked Questions
What is included in the free AWS Certified AI Practitioner (AIF-C01) sample?
The free sample includes 10 syllabus-aligned practice questions, sample flashcards, and a preview chapter from the study guide. No account or payment is required to try the sample.
How many questions are in the full AWS Certified AI Practitioner (AIF-C01) course?
The full course includes a comprehensive question bank covering all exam domains. You can see the total question count on the AWS Certified AI Practitioner (AIF-C01) course page.
Are these official AWS exam questions?
No. CertCrush questions are independently written and syllabus-aligned — they mirror the format, difficulty, and reasoning style of the official exam. We are not affiliated with or endorsed by AWS.
Which domains does the AWS Certified AI Practitioner (AIF-C01) course cover?
The course covers 5 exam domains: Fundamentals of AI and ML, Fundamentals of Generative AI, Applications of Foundation Models, Guidelines for Responsible AI, Security, Compliance, and Governance for AI Solutions.
Can I study on mobile?
Yes. CertCrush is fully responsive and works on phones, tablets, and desktops. The timed exam, flashcards, and study guide all work on mobile without installing an app.
What happens when I create an account?
Creating a free account lets you access full courses, track your weak areas by domain, and resume practice sessions across devices. No credit card is required to register.